Proverbs as indicators of proficiency for art-generating AI

IF 0.7 3区 文学 0 HUMANITIES, MULTIDISCIPLINARY
Luis J. Tosina Fernández
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引用次数: 0

Abstract

Art generated by Artificial Intelligence (AI) is currently having great repercussion online. The reason for this is the fact that it allows people without creative talent to produce outstanding works by just typing in the description of what they want to illustrate. However, the appearance of this technology has also caused some discomfort among artists and graphic designers, who see their craft threatened by a service that is available to anyone free of charge. In this article, the capability of some of these platforms to process figurative language will be assessed with the help of five well-known proverbs found in almost identical terms across a number of Western languages. These proverbs were used as the prompts on five of the most popular AI art generators accessible at present. After analyzing the results, our experiment concludes that AI evidences significant deficiencies in the processing of proverbs and, therefore, of figurative language. Consequently, AI does not seem able to substitute human agency completely in artistic creation yet. This exposes an aspect that needs improvement not just for the creative applications of AI but for other applications that it may have in the future. To achieve this, disciplines such as psycholinguistics should be integrated into the teams that develop AI.
谚语作为人工智能艺术生成能力的指标
人工智能产生的艺术目前在网上引起了巨大反响。这是因为它可以让没有创作天赋的人只需输入他们想要说明的内容就可以创作出杰出的作品。然而,这项技术的出现也引起了艺术家和平面设计师的一些不适,他们认为自己的工艺受到了免费服务的威胁。在这篇文章中,将借助五句在许多西方语言中几乎相同的谚语来评估其中一些平台处理比喻语言的能力。这些谚语被用作目前最受欢迎的五个人工智能艺术生成器的提示。在分析结果后,我们的实验得出结论,人工智能证明了谚语的处理以及比喻语言的处理存在显著缺陷。因此,人工智能似乎还不能完全取代人类在艺术创作中的能动性。这暴露了一个需要改进的方面,不仅对于人工智能的创造性应用,而且对于它未来可能拥有的其他应用。为了实现这一点,心理语言学等学科应该整合到开发人工智能的团队中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
25.00%
发文量
78
期刊介绍: DSH or Digital Scholarship in the Humanities is an international, peer reviewed journal which publishes original contributions on all aspects of digital scholarship in the Humanities including, but not limited to, the field of what is currently called the Digital Humanities. Long and short papers report on theoretical, methodological, experimental, and applied research and include results of research projects, descriptions and evaluations of tools, techniques, and methodologies, and reports on work in progress. DSH also publishes reviews of books and resources. Digital Scholarship in the Humanities was previously known as Literary and Linguistic Computing.
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